University of Arkansas

How this program compares

Benchmark this program against our national recognition pages and use the key guides below to evaluate ROI, admissions difficulty, and outcomes.

Admission Snapshot

Typical admitted student: Graduate standing in CSCE required. GRE submission is expected per department norms; verify current waiver policies with the graduate coordinator. Graduate Coordinator: Roy A. McCann (rmccann@uark.edu, 479-575-6054). International applicants should verify English proficiency and credential evaluation requirements with the Graduate School.

About This Program

UA Fayetteville's MSCS is housed in an active research department with faculty publishing in ML, quantum ML, NLP, computer vision, and social-aware AI. The program offers both thesis and non-thesis paths, and its Fayetteville location near the Walmart/Bentonville corporate corridor provides regional tech employer access.

Career Outcomes

Research-active MSCS at University of Arkansas Fayetteville with strong ML, deep learning, NLP, computer vision, and big data analytics course offerings, plus thesis track research.

• 1. Software Engineer
• 2. ML / AI Engineer
• 3. Data Scientist
• 4. Research Scientist

What You'll Learn

• Select from a deep menu of AI/ML graduate courses including deep learning, NLP, computer vision, and GPU programming.
• Engage with faculty research in ML, quantum ML, big data, and social-aware AI.
• Complete thesis research or coursework-only option per program plan.
• Build skills in areas highly relevant to regional and national technology employers.

Curriculum Highlights

The MSCS (CSCEMS) at the University of Arkansas is offered by the Department of Computer Science and Computer Engineering. Primary research areas include Machine Learning and Quantum Machine Learning, Deep Learning and Natural Language Processing, Computer Vision and Image Processing, Social Aware AI, Big Data Analytics, and Cybersecurity. AI and ML-relevant graduate courses include CSCE 50603 Machine Learning (neural network techniques, supervised/unsupervised learning), CSCE 50703 Data Mining, CSCE 52703 Big Data Analytics and Management, CSCE 55403 Statistical Natural Language Processing, CSCE 55603 Introduction to Deep Learning (CNN, RNN, attention, GANs, deep RL), CSCE 56103 Artificial Intelligence (agents, search, logic, knowledge representation, ML, robotics), CSCE 57003 Computer Vision, and CSCE 56903 GPU Programming. Graduate coordinator: Roy A. McCann.

Top Employers

Walmart Technology, Tyson Foods technology division, and Arkansas's growing startup ecosystem; national tech firms; verify through UA Engineering career resources.

Admissions

Graduate standing in CSCE required. GRE submission is expected per department norms; verify current waiver policies with the graduate coordinator. Graduate Coordinator: Roy A. McCann (rmccann@uark.edu, 479-575-6054). International applicants should verify English proficiency and credential evaluation requirements with the Graduate School.

Application Materials

• Statement of Purpose: Recommended
• Letters of Recommendation: Standard graduate requirement
• GRE General: Expected; verify waiver policy with department
• Transcripts: Official transcripts required
• English Proficiency: Per Graduate School for international applicants

Academic Requirements

• Degree Required: Bachelor's in Computer Science or Computer Engineering or closely related
• GRE/GMAT: Expected; verify waiver options
• TOEFL/IELTS: Per Graduate School requirements